IoT Smart healthcare security challenges and solutions

Shah, Imdad Ali; Jhanjhi, N. Z.; Brohi, Sarfraz Nawaz

Abstract

The primary objective of this chapter is to examine the security concerns of people in their smart homes and focus on the healthcare equipment that comes packaged with future homes that are vulnerable to cyber-attacks, resulting in data breaches. Patients not physically present in a healthcare institution can have their health metrics, such as heart rate, blood pressure, temperature, and more, automatically collected by IoT devices. This eliminates the need for patients to travel to the doctor or gather the data themselves. A crucial component of healthcare procedures is patient care, healthcare IoT applications can potentially improve patient outcomes and the calibre of care given by physicians, nurses, clinicians, pharmaceutical companies, and the government. Wireless healthcare monitoring devices are regarded as a medical revolution widely utilized in hospitals and other healthcare settings. However, on the internet of items paradigm, security and privacy for interconnected items should be considered. A systematic approach to security and privacy safeguards must be employed in creating devices, connecting objects, communicating, handling, and storing data, and destroying such devices and data in the context of healthcare and remote health monitoring. In recent years, smart homes and healthcare have become increasingly popular. It is required to use a more secure method to assure security and privacy. As a result, these techniques can provide security and privacy in Smart health regarding remote patient monitoring and healthcare, communications, data handling, and device failure due to data loss. The smart house and its services, as we currently understand them, create a highly heterogeneous context, posing a substantial problem for future consumers and producers. Healthcare services expose vulnerabilities in interconnected medical devices and pose an unknown threat to human life. This study helps new researchers and related healthcare institutions.

• Publication Date: Jun 7, 2024
• Deposit Date: Dec 12, 2024
• Publisher: IGI Global
• Peer Reviewed: Peer Reviewed
• Pages: 234-247
• Book Title: Advances in Computational Intelligence for the Healthcare Industry 4.0
• ISBN: 9798369323335
• DOI: https://doi.org/10.4018/979-8-3693-2333-5.ch012
• Public URL: https://uwe-repository.worktribe.com/output/11984132